JOURNAL ARTICLE

Road 3D Point cloud Data Modeling based on LiDAR

Shuncai YaoJinxuan Shi

Year: 2022 Journal:   2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP) Pages: 465-468

Abstract

This paper mainly studies how to collect useful point cloud data efficiently and accurately by 3D lidar and gives a set of effective fast 3D modeling method. Using LiDAR RS-LIDAR-16 to scan the roads and their surroundings at different measuring stations, the 3d laser point clouds of several stations were obtained. Point cloud registration and denoising were carried out to eliminate noisy scattered point clouds. The experimental results show that this method can realize the modeling of three-dimensional point clouds of different stations and has good modeling effect.

Keywords:
Lidar Point cloud Remote sensing Computer science Point (geometry) Laser scanning Solid modeling Atmospheric model Cloud computing Data set Computer vision Laser Artificial intelligence Meteorology Geology Geography Optics Mathematics Geometry Physics

Metrics

5
Cited By
1.86
FWCI (Field Weighted Citation Impact)
8
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
3D Surveying and Cultural Heritage
Physical Sciences →  Earth and Planetary Sciences →  Geology
Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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